This manuscript discusses the development of the thermal comfort zones, during summer and winter periods, inside vehicular cabins. This is done using two thermal modeling approaches; specifically Berkeley and Fanger computations. The limiting boundaries of the thermal comfort zone when computed by the Berkeley model is determined by the Overall thermal Sensation (OS ± 0.5), while according to Fanger model, the zone is determined by the Predicted Mean Vote index (PMV ± 0.5). The Berkeley simulation uses a virtual thermal manikin to predict the thermal sensation and comfort inside the cabin under different environmental conditions, while maintaining the cabin homogeneous state over a relative humidity range of (20-60%). The manikin clothing reflects the summer period through; short sleeve with long trousers at an approximate clothing insulation value of 0.5 clo. Additionally, the winter clothing for winter is long thick sleeve, long thick trousers, hand-wear and footwear with approximate clothing insulation value of 1 clo. The metabolic rate for a human passenger is set at 1.4 met to represent a seated human activity level. The same conditions are also used for the Fanger model except the range of relative humidity, which is (20-80%). The results show that the lower and upper temperature limits for the summer comfort window are at standard conditions of 22.4 and 27.3°C for the Berkeley model and at 23.1 and 27.4 °C for the Fanger model. On the other hand, the temperature limits for the winter comfort window are at 19.8 and 25.2°C for the Berkeley model and at 18.6 and 24.6 °C for the Fanger model. Additionally, the proposed study conducted a sensitivity analysis of these windows by changing (increase/decrease) of the metabolism, the cabin air velocity, and the clothing insulation values.